Sequence-based predictions (Phenylketonuria)
From Bioinformatikpedia
Contents
Summary
Sequence-based prediction approaches are useful to predict a variety of structural and functional properties of proteins. Here we used different methods to provide useful information about our protein sequence and some other given proteins (in brackets):
- ReProf for secondary structure prediction (P10775, Q9X0E6, Q08209)
- IUPred and MD (MetaDisorder) for the prediction of the disorder
- PolyPhobius and MEMSAT-SVM to predict transmembrane helices (P35462, Q9YDF8, P47863)
- SignalP to predict signal peptides
- GOPET and ProtFun2.0 to predict GO terms
- Pfam with a sequence search to find out more about the Pfam family of our protein
Secondary structure
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Disorder
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IUPred
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MD (MetaDisorder)
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Transmembrane helices
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PolyPhobius
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MEMSAT-SVM
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Signal peptides
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GO terms
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Pfam
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